RESUMO
The evolution of the SARS-CoV2 coronavirus spike S-protein is studied using a mass spectrometry based protein phylogenetic approach. A study of a large dataset comprising sets of peptide masses derived from over 3000 proteins of the SARS-CoV2 virus shows that the approach is capable of resolving and correctly displaying the evolution of the major variants of concern. Using these numerical datasets, through a pairwise comparison of sets of proteolytic peptide masses for each protein, the tree is built without the need for the sequence data itself or any sequence alignment. In the same analysis, single point mutations are calculated from peptide mass differences of different protein sets and these are displayed at the branch nodes on the tree. The tree topology is found to be consistent with that generated using conventional sequence-based phylogenetics by a manual visualisation and using a tree comparison algorithm. The mass tree resolves major variants of the virus and displays non-synonymous mutations, calculated based on the mass data alone, on the tree that enable protein evolution to be charted and tracked along interconnected branches. Tracking the evolution of the SARS-CoV2 coronavirus S-protein is of particular importance given its role in the attachment of the virus to host cells ahead of viral replication.
Assuntos
COVID-19 , SARS-CoV-2 , Humanos , SARS-CoV-2/genética , Filogenia , RNA Viral , Sequência de Aminoácidos , MutaçãoRESUMO
Mass mapping using high resolution mass spectrometry has been applied to identify and rapidly distinguish the omicron variant of the SARS-CoV2 coronavirus strains from other major variants of concern. Insertions, deletions and mutations within the surface spike protein result in associated mass differences in the mass maps that distinguish the variant from the originating strain and the preceding alpha, beta, gamma and delta variants of concern. The same mass map profiles can also be used to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study the origins of the variants, or any other strains. The speed and sensitivity of mass spectrometric analysis is demonstrated for a preliminary set of clinical specimens with comparable sample handling to that required in PCR based approaches.
Assuntos
COVID-19 , SARS-CoV-2 , COVID-19/diagnóstico , Humanos , Espectrometria de Massas , Filogenia , RNA Viral , SARS-CoV-2/genética , Glicoproteína da Espícula de Coronavírus/genéticaRESUMO
Mass mapping using high-resolution mass spectrometry has been applied to identify and rapidly distinguish SARS-CoV-2 coronavirus strains across five major variants of concern. Deletions or mutations within the surface spike protein across these variants, which originated in the UK, South Africa, Brazil and India (known as the alpha, beta, gamma and delta variants respectively), lead to associated mass differences in the mass maps. Peptides of unique mass have thus been determined that can be used to identify and distinguish the variants. The same mass map profiles are also utilized to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study viral evolution. The combined strategy offers advantages over conventional PCR-based gene-based approaches exploiting the ease with which protein mass maps can be generated and the speed and sensitivity of mass spectrometric analysis.
Assuntos
Evolução Molecular , Mutação , SARS-CoV-2/isolamento & purificação , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz/métodos , COVID-19/virologia , Humanos , Filogenia , SARS-CoV-2/genéticaRESUMO
In anticipation of an interseasonal respiratory syncytial virus (RSV) epidemic, a clinician-led reporting system was rapidly established to capture RSV infections in Swiss hospitals, starting in January 2021. Here, we present details of the reporting system and first results to June 2021. An unusual epidemiology was observed with an interseasonal surge of RSV infections associated with COVID-19-related non-pharmacological interventions. These data allowed real-time adjustment of RSV prophylaxis guidelines and consequently underscore the need for and continuation of systematic nationwide RSV surveillance.